One of the problems our Innovations team is working on at Socialbakers is sentiment analysis. Sentiment analysis is an automated process of recognition of how an audience feels towards any given subject from written or spoken language. It is one of the most common classification tools exploiting artificial intelligence. Sentiment analysis algorithm analyzes given text and predicts whether the underlying sentiment is positive, neutral or negative. Socialbakers is a global AI-powered social media marketing company and there are many use cases for sentiment analysis in our marketing software-as-a-service platform, called the Socialbakers Suite.

A huge, hidden shift is taking place in the way companies use Facebook to talk to customers. In the old days, companies used to deal with customers' complaints publicly, on their Facebook walls or on Twitter. But in the last couple of years the majority of "social customer care" has gone private -- inside the direct messaging channels of Facebook Messenger, Twitter, Whatsapp, and others. Now, 10,000 companies are already developing artificially intelligent chatbots to handle those private conversations. Socialbakers, the social media management company, did a study of 256 companies, looking at 3.1 million private messages and 1.5 million Facebook wall posts. The question we wanted to know was: How big is the potential market for A.I. chatbots inside Messenger and other apps?